The Future of Microsoft Data Platform. Focus on Azure IoT, Analytics and Power BI
Power BI (“v2”) est un outil permettant le ‘self-service BI’ pour aboutir à une BI Agile… Power BI est l’avenir de la BI …
Mais pas forcément comme on pourrait l’imaginer…
Microsoft a une vision très large de la stratégie « Data Platform »
Le Cloud permet de faciliter cette adoption
Penchons-nous sur le futur proche de Microsoft Data platformet regardons en quoi Power BI va jouer un rôle clef.
Analyse
Analyse Descriptive, je fais de la BI et je constate par rapport au passé,
On est Noël, je vends des vélos et je vois les conséquences
Analyse Prédictive
On regarde 2014, 2015 et ajoute des données externes (météo, coûts, …)
Analyse Prescriptive
Quand on fait des prédictions, on fait des projections
Pour avoir plus précis, on fait 2 types d’analyses
Aujourd’hui on peut faire des prédictions justes
MAIS si George Clooney fait du vélo, ça va changer
Donc opérer une analyse temps réel, avec agilité et données proches
La BI traditionnelle a évolué
BigData, machine learning, IoT
MS a regroupé en 2 catégories
Descriptive = BI
Advanced analytics
Source : C:\Users\vince\OneDrive\ViseoBT\Offres_MS_Viseo\0 PackMarketing côté MS\Journey to the Modern Data Culture.pptx
Here are some key trends that are impacting how businesses are managing and using data today
New data sources are coming online every day, with mobile devices and connected assets, loyalty programs, everything is producing data that could inform business
This drives an explosion of data volume, growing at a rate of 41%, CAGR
With all that data, businesses are hungrier than ever to make data-informed decisions. There’s’ an opportunity for businesses to learn more about their customers or their own operations, and getting the data is no longer the hurdle.
But to truly capture value in today’s data-centric environments, businesses must evolve their data platform to harness the power of data.
Source : C:\Users\vince\OneDrive\ViseoBT\Offres_MS_Viseo\0 PackMarketing côté MS\Journey to the Modern Data Culture.pptx
Microsoft’s commitment to innovating for data-centric companies goes beyond SQL Server—it extends across box, cloud and appliance. Just look at all the advancements we’ve made since 2012.
Starting with breakthrough performance in SQL Server 2012
…to the introduction of HDInsight in 2013
PDW became APS in 2014 for a turnkey big data analytics appliance, and Power BI put rich visualizations into the hands of more users
2015 has been a big year with huge investments in advanced analytics. Including machine learning, cross-platform big data analysis, and in-memory OLTP in the cloud.
https://channel9.msdn.com/events/FutureDecoded/Future-Decoded-2015-UK/24
Batch => Cold path analytics & find patterns
Stream analytics : data comes real time and matches with historical patterns !
Cortana : did you unplug the ironing ??